Evidence mapPaperPMID 40895542Full record

SynthesisFrontiers in immunology2025

Effects of different exercise prescription parameters on metabolic and inflammatory biomarkers in cancer patients: a systematic review, meta-analysis, and meta-regression.

Jingyu Wang, Yuxuan He, Ziqian Wang, Zhouluo Wang, Yongqi Miao, Jae-Young Choi

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 4 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Review
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jingyu WangDepartment of Sport Leisure, Sungshin Women's University, Seoul, Republic of Korea.
Yuxuan HeDepartment of Sport Leisure, Sungshin Women's University, Seoul, Republic of Korea.
Ziqian WangDepartment of Sport Leisure, Sungshin Women's University, Seoul, Republic of Korea.
Zhouluo WangSchool of Philosophy and Sociology, Jilin University, Changchun, China.
Yongqi MiaoCollege of Physical Education, Jilin University, Changchun, China.
Jae-Young ChoiDepartment of Physical Education, College of Education, Korea University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to systematically evaluate the effects of exercise interventions on metabolic and inflammatory biomarkers in cancer patients, and to identify potential dose-response relationships and modulatory mechanisms using Robust Variance Estimation (RVE) and MetaForest models. Methods: A systematic search of five databases was conducted from inception to March 6, 2025, based on the PICOS framework. Randomized controlled trials involving exercise interventions of ≥4 weeks in adults (≥18 years) with cancer were included. Effect sizes were pooled using RVE to estimate overall intervention effects. Risk of bias was assessed using the ROB2 tool, and the certainty of evidence was evaluated with the GRADE approach. Univariable RVE meta-regression was performed to examine the linear effects of each moderator. MetaForest was used to assess variable importance and to explore potential nonlinear relationships between moderators and intervention effects. Subgroup analyses were conducted by cancer type and intervention timing. Results: A total of 83 eligible articles were included, representing 74 distinct randomized controlled trials, from which data were extracted. Exercise significantly reduced insulin levels (ES = -0.24, SE = 0.08, p < 0.01, I² = 49%), representing a small but meaningful effect. TNF-α showed a small effect (ES = -0.22, SE = 0.13) but was not statistically significant (p = 0.10, I² = 74%). MetaForest modeling revealed that the most favorable changes in IL-6, adiponectin, and IGF-1 were associated with high-intensity aerobic exercise; TNF-α, IL-8, and IL-10 responded best to longer weekly exercise duration; and improvements in glucose, leptin, and CRP were most pronounced when exercise was combined with caloric restriction. Conclusion: Regular exercise confers modest but favorable effects on metabolic and inflammatory biomarkers in cancer patients. Meta-regression highlighted the importance of high-intensity aerobic exercise (HRR > 85%) in modulating IL-6, adiponectin, and IGF-1, as well as longer weekly exercise duration (>280 min/week) in improving TNF-α and IL-8. Mechanistically, high-intensity aerobic exercise may serve as a primary trigger for activating pathways that mediate metabolic and inflammatory improvements. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251002676.

Indexed as

ExerciseExercise TherapyInflammation MediatorsNeoplasmsBiomarkersBiomarkers, TumorHumansInflammationRandomized Controlled Trials as TopicBiomarkersBiomarkers, TumorInflammation Mediatorscancerexerciseexercise prescriptioninflammationmetabolism

Identifiers

PMID40895542
PMCPMC12390815

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.